sampleCount: Accessor function for the 'sampleCount' information in a...

In bhklab/mRMRe: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)

Description

The feature count is simply the total number of samples considered in the mRMRe procedure.

Usage

## S4 method for signature 'mRMRe.Data'
sampleCount(object)
## S4 method for signature 'mRMRe.Filter'
sampleCount(object)
## S4 method for signature 'mRMRe.Network'
sampleCount(object)

Arguments

object

a mRMRe.Data, mRMRe.Filter or mRMRe.Network object.

Author(s)

Nicolas De Jay, Simon Papillon-Cavanagh, Benjamin Haibe-Kains

Examples

set.thread.count(2)
data(cgps)
feature_data <- mRMR.data(data = data.frame(cgps.ge))
sampleCount(feature_data)
filter <- mRMR.classic("mRMRe.Filter", data = feature_data, target_indices = 3:5,
						feature_count = 2)
sampleCount(filter)

bhklab/mRMRe documentation built on Sept. 3, 2021, 10:50 p.m.